SortSpoke

AI-powered document processing that helps insurers achieve 5x faster submission intake while keeping underwriters in control.

Document Management Growth Series A

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Overview

SortSpoke is an AI-powered document processing and automation platform purpose-built for the insurance industry. Founded in 2017 in Toronto, the company helps carriers, MGAs, and BPO partners transform how they handle the vast volume of unstructured insurance documents -- from ACORD forms and loss runs to schedules of values (SOVs) and specialty submissions.

The platform combines proprietary machine learning with large language models (LLMs) in a hybrid approach trained specifically on insurance document types. Unlike general-purpose document AI, SortSpoke recognizes over 450 insurance document types and extracts structured data with deep domain accuracy. Customers report achieving 5x faster submission processing and up to 90% reduction in manual review time.

A defining principle of SortSpoke is human-in-the-loop design. The platform is engineered to keep underwriters in control, providing fully auditable and explainable AI output rather than a black-box result. This approach increases underwriting capacity without requiring additional headcount or outsourcing.

Products & Services

TriageAI -- Submission Triage

Intelligent prioritization and automation of insurance submission intake, triage, and routing for carriers and MGAs.

Key Features

Automated submission intake and routing
Prioritization logic based on underwriting criteria
Reduces review times by up to 90%

Target Users: Underwriters at carriers and MGAs

Data Extraction

AI-driven extraction from complex insurance documents including ACORD forms (125, 126, 140+), loss run reports, and statements of values (SOVs).

Key Features

Recognizes 450+ insurance document types
Structured data extraction with validation
Supports ACORD standard forms and specialty formats

Target Users: Underwriting and operations teams

Insurance Document LLM

Proprietary document LLM trained specifically on insurance forms and data, combining machine learning with large language models for extraction and validation.

Key Features

Insurance-specific training data
Hybrid ML and LLM architecture
Explainable, auditable output with full audit trails

Target Users: Carriers, MGAs, BPO partners

Data Enrichment & Pre-Fill

Automatic enhancement of submission data with verified third-party information.

Key Features

Third-party data integration
Pre-fills structured fields from unstructured sources
Reduces manual data entry for underwriters

Target Users: Underwriting operations teams

At a Glance

Founded: 2017
Headquarters: Toronto, Ontario, Canada
Employees: 11-50
Funding: Series A

Category & Focus

Category: Document Management
Subcategories: Intelligent Document Processing AI Data Extraction Submission Triage
Insurance Verticals: P&C Commercial Specialty/E&S Group Benefits
Target Customers: Carriers, MGAs/MGUs, TPAs